Data Mining In The Analysis Of Four Properties For Traditional Chinese Medicine

This paper presents my works on applying data mining techniques to research ontraditional Chinese medicines. More specifically, it aims to break the bottleneck problem inmodern traditional Chinese medicine study by unveiling the underlying associations betweenchemical ingredients of traditional Chinese medicines and their pharmic qualities which are ofvital importance in both research and practice.Various data mining techniques are applied to the informations collected from vasttraditional Chinese medicine literature. They include J48, Naive Bayes and AODE algorithmsprovided by Weka, a widely-used data mining software package. Then, some predictivemodels are enhanced by the use of Bagging, Adaboost and Stacking techniques, among whichwe find J48+Adaboost the best for practice.Our results can help guide future researches on traditional Chinese medicines,particularly in the development of new medicines.